International Business Management
ISSN: OnlineISSN: Print 1993-5250
Abstract
There is increasing interest in using approaches that combine multi-criteria decision analysis methods with artificial intelligence technologies to improve the analysis of alternatives and decision-making. The literature presents many studies that apply these approaches in several different areas. However, there are still many gaps in understanding how intelligent prioritization is applied in asset management. Therefore, the objective of this study is to investigate and improve the understanding of this research field. Thus, we conducted a Systematic Literature Review (SLR) to examine the state of the art of intelligent prioritizationin asset management. A predefined protocol guided this review. It was searched for studies in 5 electronic databases and defined 10 research questions. The databases returned 7.843 studies. To data extraction and analysis were included 82 studies. An overview showed the year of publication, application context, development location, source and type of publication of the included studies. We answered the 10 questions of this SLR and their results were analyzed and discussed. Thus, this work presents some promising, relevant and little explored research opportunities in the study area.
How to cite this article:
Silvio Meira, Fernanda Alencar and Cinthya Cavalcanti Flório. Intelligent Prioritization Applied in Asset Management: A Systematic Literature Review.
DOI: https://doi.org/10.36478/ibm.2021.341.361
URL: https://www.makhillpublications.co/view-article/1993-5250/ibm.2021.341.361